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Results tagged with cross-validation
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user 56923
Refers to general procedures that attempt to determine the generalizability of a statistical result. Cross-validation arises frequently in the context of assessing how a particular model fit predicts future observations. Methods for cross-validation usually involve withholding a random subset of the data during model fitting and quantifying how accurate the withheld data are predicted and repeating this process to get a measure of prediction accuracy.
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Folds in Cross validation
I am performing 10-folds cross-validation to evaluate the performances of a series of models (variable selection + regression) with R. I created manually the folds with this code.
At the moment I'm …
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